{"id":"W4236224329","doi":"10.22215/etd/2009-08766","title":"Simulation analysis of multi-channel ARQ protocols","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Channel (broadcasting); Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001122432,0.0002257799,0.000502106,0.001062976,0.00004543518,0.00005049019,0.001295154,0.0002841936,0.00001146529],"category_scores_gemma":[0.0002689341,0.0002057877,0.0001793634,0.002066781,0.00001983841,0.000517334,0.00008854338,0.00017269,0.00001014276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004974726,"about_ca_system_score_gemma":0.00004845027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002714966,"about_ca_topic_score_gemma":0.0003232164,"domain_scores_codex":[0.9985004,0.00002178485,0.0004385726,0.0005243937,0.0003333792,0.0001814648],"domain_scores_gemma":[0.9978532,0.0001096366,0.0005146834,0.001234984,0.0002591977,0.0000282541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002034973,0.000211218,0.00002181791,0.00008225507,0.0004033551,0.000007809038,0.0004147557,0.8642182,0.0003803887,0.00704284,0.00009493799,0.127102],"study_design_scores_gemma":[0.000162636,0.00007247156,0.002638928,0.00004783878,0.0001422343,8.44261e-8,0.00009908052,0.9882289,0.005208698,0.002879213,0.0002569963,0.0002629312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003415198,0.00003962442,0.9937291,0.00001465597,0.00005518548,0.004631589,0.00001871774,0.0006025347,0.0005671272],"genre_scores_gemma":[0.3525203,0.00001799473,0.6345592,0.00008448399,0.00002713784,0.004839301,0.002204648,0.00003711327,0.00570982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3591699,"threshold_uncertainty_score":0.839178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04385516902744891,"score_gpt":0.3684452318343295,"score_spread":0.3245900628068806,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}